Pinned Repositories
Bert-Sentiment-Analysis
Sentiment Analysis using Bert Library (Portuguese version)
CBOW
2016.07.15
CBOW-Implementation
Continuous Bag of Words Implementation as a part of the Udacity Deep Learning Course. (Problem section of Ex-5)
Comparision-of-CBOW-SkipGram-Model
Implemented Word2Vec model using gensim Lib.Experimented Different approach of Hyperparameter Tuning such as 1)Manual Search 2)Grid Search and Random Search to evaluate best performance .
Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.
data-science
Learning Data Science By Coding
Data-Science-and-Machine-Learning-Projects-Dojo
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
data_wrangling_exercises
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
weitzelleila's Repositories
weitzelleila/Bert-Sentiment-Analysis
Sentiment Analysis using Bert Library (Portuguese version)
weitzelleila/CBOW
2016.07.15
weitzelleila/CBOW-Implementation
Continuous Bag of Words Implementation as a part of the Udacity Deep Learning Course. (Problem section of Ex-5)
weitzelleila/Comparision-of-CBOW-SkipGram-Model
Implemented Word2Vec model using gensim Lib.Experimented Different approach of Hyperparameter Tuning such as 1)Manual Search 2)Grid Search and Random Search to evaluate best performance .
weitzelleila/Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.
weitzelleila/data-science
Learning Data Science By Coding
weitzelleila/Data-Science-and-Machine-Learning-Projects-Dojo
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
weitzelleila/data_wrangling_exercises
weitzelleila/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
weitzelleila/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
weitzelleila/Datasets
Dataset to Machine and Deep Learning
weitzelleila/dcn-deep-clustering-networks
A keras implementation of Deep Clustering Networks (DCN) for simultaenous representation learning and clustering.
weitzelleila/hate-offensive-analysis
hate speech and offensive (abusive) analysis during the 2018 presidential election in Brazil.
weitzelleila/interpreting-decision-trees-and-random-forests
Unwrapping decision trees and random forests to make them less of a black box
weitzelleila/Machine-Learning-for-beginners-portuguese-
Machine Learning (portuguese)
weitzelleila/machine_learning_examples
A collection of machine learning examples and tutorials.
weitzelleila/mastering-ml-w-python-in-six-steps
Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
weitzelleila/mlr
Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
weitzelleila/Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
weitzelleila/NLP_tf-idf
weitzelleila/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
weitzelleila/TCC-TL
weitzelleila/test_db
A sample MySQL database with an integrated test suite, used to test your applications and database servers
weitzelleila/text-analytics-w-python
Source code for 'Text Analytics with Python' by Dipanjan Sarkar
weitzelleila/tf-idf
tf-idf stats on first and last chapters (credits Jonathan Reeve)
weitzelleila/TF-IDF-1
The TF-IDF technique can be used to compute similarity among a data set of documents and can be used as a basis of recommendation.
weitzelleila/tf_idf
weitzelleila/tf_idf_classifier
A little sample of how to use ElasticSearch to get a TF-IDF_classifier
weitzelleila/TF_IDF_Wiki_documents
TF-IDF on Wikipedia Corpus
weitzelleila/udlbook
Understanding Deep Learning - Simon J.D. Prince